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lime vs readxl

A side-by-side editorial comparison of lime and readxl — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:maintenance

lime vs readxl: at a glance

Featurelimereadxl
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesinterpretability, machine-learning, r-stats, maintenancer, excel, data-import, libxls
Last editorial update1h ago5h ago
WebsiteVisit →Visit →

What is lime?

lime survives on compatibility patches years after its research moment

lime brings local interpretable model-agnostic explanations to R. Its substantive development finished around 0.5.0 in 2019, which added argument pass-through to predict(), a gower_pow tuning knob and a batch of fixes. Since then there have been three releases: a namespace fix, a maintainer handover to Emil Hvitfeldt with general upkeep, and a patch to work across xgboost versions.

Read the full lime trajectory →

What is readxl?

readxl has shipped almost nothing but vendored-dependency upkeep since 2022.

readxl reads Excel files into R without requiring Excel, bundling the libxls and RapidXML C libraries. Four of its last six releases state outright that they contain no user-facing changes, existing instead to satisfy CRAN, silence a sanitizer warning, or re-embed a patched libxls.

Read the full readxl trajectory →

lime vs readxl: editorial side-by-side

L
lime
ANALYTICS
0.0

lime survives on compatibility patches years after its research moment

◆ Current state

lime brings local interpretable model-agnostic explanations to R. Its substantive development finished around 0.5.0 in 2019, which added argument pass-through to predict(), a gower_pow tuning knob and a batch of fixes. Since then there have been three releases: a namespace fix, a maintainer handover to Emil Hvitfeldt with general upkeep, and a patch to work across xgboost versions.

◆ Where it's heading

The package is in custodial maintenance — kept installable and compatible with the model packages it explains, rather than developed. The 2022 handover is the most consequential entry in the window because it determined that the package would keep getting patches at all.

◆ Prediction

Expect the next release to be another compatibility fix triggered by an upstream model package, not new explanation methods.

R
readxl
ANALYTICS
0.0

readxl has shipped almost nothing but vendored-dependency upkeep since 2022.

◆ Current state

readxl reads Excel files into R without requiring Excel, bundling the libxls and RapidXML C libraries. Four of its last six releases state outright that they contain no user-facing changes, existing instead to satisfy CRAN, silence a sanitizer warning, or re-embed a patched libxls.

◆ Where it's heading

The real work has become stewardship of vendored C code: absorbing libxls security fixes and keeping the package compiling across Alpine, UBSAN and successive cpp11 versions. 1.5.0 breaks the streak only slightly, with a network-drive permission warning fix and a cpp11 floor raised to dodge a segfault.

◆ Prediction

Expect the same rhythm — releases triggered by toolchain breakage or an upstream libxls patch rather than new spreadsheet-reading capability.

Alternatives to lime and readxl

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either lime or readxl.

See all lime alternatives → · See all readxl alternatives →

Recent activity from lime and readxl

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 2mo agoreadxlreadxl 1.5.0 stops false access-denied warnings on network drives
  2. 8mo agolimeCompatibility across all xgboost versions
  3. 1y agoreadxlreadxl 1.4.5 clears a gcc UBSAN warning
  4. 1y agoreadxlreadxl 1.4.4 embeds libxls 1.6.3 with vulnerability fixes
  5. 3y agoreadxlreadxl 1.4.3 ships with no user-facing changes
  6. 3y agoreadxlreadxl 1.4.2 embeds a libxls build fixing CVE-2021-27836
  7. 3y agolimeMaintainer handover to Emil Hvitfeldt
  8. 3y agoreadxlreadxl 1.4.1 regenerates help files for valid HTML5
  9. 5y agolimeorder() fix and lighter dependencies
  10. 6y agolimeNamespace fix following glmnet changes
  11. 7y agolimeexplain() gains pass-through args and gower_pow tuning
  12. 8y agolimeh2o support, NA handling and date feature types

Frequently asked questions

What is the difference between lime and readxl?

Both compete on the same themes — maintenance — within Analytics. lime and readxl are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is lime better than readxl?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. lime and readxl are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to lime?

Top lime alternatives in Analytics are ranked by recent ship velocity. Browse the "lime alternatives" section above for the current picks, or visit /alternatives/lime-r for the full list with editorial commentary on each.

What are the best alternatives to readxl?

Top readxl alternatives in Analytics are ranked by recent ship velocity. Browse the "readxl alternatives" section above for the current picks, or visit /alternatives/readxl for the full list with editorial commentary on each.